Overcoming Data Challenges in Healthtech – Streamlining De-identification for Improved Compliance and Accessibility

Client: Health Verity

Challenge:

Health Verity, a company specializing in healthcare data management and compliance, faced a significant challenge in their de-identification process. Their existing command-line based de-identification application, while effective, was difficult for many non-technical users to navigate, hindering its broader adoption and potentially impacting HIPAA compliance efforts. Additionally, the company sought to develop a more versatile web-based solution for de-identification and matching, but faced evolving requirements and a tight timeline.

Solution:

To address these challenges, a two-pronged approach was adopted:

  • Desktop De-identification Application: A user-friendly desktop interface was developed using Java Swing, leveraging the existing Java-based application. This new interface simplified the de-identification process, making it more accessible to non-technical users at client and partner sites.
  • Web-Based Solution: To meet the evolving needs for de-identification and matching, a web-based proof of concept was developed using Python, AWS CDK, and AWS Serverless. The front end utilized server-side rendered HTML with Jinja templates, enabling rapid prototyping and a clear separation of business logic and presentation.

Results:

  • Improved User Experience: The desktop application significantly enhanced the user experience for non-technical users, reducing the complexity of the de-identification process and promoting wider adoption.
  • Rapid Prototyping: The web-based solution’s agile development approach allowed for quick adaptation to changing requirements, ensuring the delivery of a functional proof of concept within a tight timeframe.
  • Flexibility and Scalability: The use of AWS CDK and Serverless in the web-based solution provided a foundation for a scalable and adaptable final application, capable of meeting future needs.

Lessons Learned:

  • Technology Selection: Choosing appropriate technologies is crucial for balancing user needs, development timelines, and scalability. In this case, Java Swing and server-side rendering proved effective for addressing specific user requirements and project constraints.
  • Collaboration and Communication: Early and frequent communication with stakeholders is essential for gathering clear requirements and ensuring alignment with project goals.

Conclusion:

This case study demonstrates how Health Verity successfully navigated data challenges in the healthtech market by developing user-friendly and adaptable de-identification solutions. By prioritizing user experience, leveraging appropriate technologies, and adopting an agile development approach, Health Verity enhanced compliance efforts, improved accessibility, and laid the groundwork for a scalable web-based solution. This case study highlights the importance of addressing the unique needs of the healthcare industry, where data privacy, security, and user-friendliness are paramount.